Edgee
Edgee is an AI Gateway that reduces LLM costs by up to 50% through intelligent token compression while providing access to 200+ models with automatic cost optimization, intelligent routing, and full observability.
https://www.edgee.ai/?ref=producthunt
Product Information
Updated:Feb 13, 2026
What is Edgee
Edgee is an edge-native AI gateway designed to help engineering teams run large language models safely, efficiently, and reliably in production. It serves as an intelligence layer that sits between applications and LLM providers behind a single OpenAI-compatible API, enabling teams to manage their AI infrastructure more effectively while reducing costs and maintaining control over their AI operations.
Key Features of Edgee
Edgee is an AI gateway service that sits between applications and LLM providers, offering a unified OpenAI-compatible API interface. It provides intelligent token compression, cost management, routing policies, and edge-level processing capabilities to optimize AI interactions. The platform enables efficient management of AI traffic while reducing costs through token optimization and providing comprehensive monitoring and control features.
Token Compression: Reduces prompt size without losing intent to lower costs and latency, especially beneficial for long contexts, RAG pipelines, and multi-turn agent interactions
Multi-Provider Gateway: Provides a single unified API interface to multiple LLM providers with normalized responses, making it easy to switch between providers
Edge-Level Intelligence: Runs small, fast models at the edge for classification, redaction, enrichment, or routing of requests before they reach the LLM provider
Comprehensive Observability: Offers real-time monitoring of latency, errors, usage, and costs per model, application, and environment
Use Cases of Edgee
Cost Optimization for AI Applications: Helps organizations reduce LLM costs by up to 50% through intelligent token compression and routing policies
Multi-Model Management: Enables businesses to manage multiple AI models and providers through a single interface while maintaining consistent response formats
Private AI Deployment: Allows organizations to deploy and manage private LLMs alongside public providers for sensitive or specialized applications
Pros
Significant cost reduction through token compression
Unified API interface for multiple providers
Comprehensive monitoring and control features
Cons
Additional layer in the AI infrastructure stack
Potential dependency on third-party service for AI operations
How to Use Edgee
Sign up for API key: Get your API key from Edgee to access their services
Install SDK: Install the Edgee SDK for your preferred programming language (Go, Rust, etc.)
Initialize Client: Create a new Edgee client instance using your API key
Send Requests: Use the client.Send() method to make requests to LLM models, specifying the model (e.g. 'gpt-4o') and your prompt
Handle Response: Process the response which includes the model output text and optional compression metrics like tokens saved
Configure Settings: Optionally set up additional features like routing policies, privacy controls, and cost tracking through the dashboard
Monitor Usage: Use Edgee's observability tools to track latency, errors, usage and costs across your AI traffic
Optimize Costs: Leverage token compression and intelligent routing to reduce costs while maintaining performance
Edgee FAQs
Edgee is an open source edge computing platform that sits between your application and LLM providers, offering token compression, cost controls, routing policies, and tools to optimize AI traffic. It helps reduce costs and latency while ensuring smoother user experience through edge processing.
Edgee Video
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